560 papers
Microbiology explores the invisible world of tiny life forms that shape our health, environment, and even the air we breathe. From bacteria and viruses to fungi and parasites, this field investigates how these microscopic organisms interact with us and each other, driving everything from disease outbreaks to beneficial fermentation processes. Understanding them is crucial for developing new medicines, improving food safety, and combating global health challenges.
At Gist.Science, we make the latest discoveries in this dynamic field accessible to everyone. We process every new preprint uploaded to bioRxiv in this category, transforming dense academic findings into both clear, plain-language explanations and detailed technical summaries. This ensures that whether you are a student, a researcher, or simply curious, you can grasp the significance of cutting-edge science without getting lost in jargon.
Below are the most recent papers in microbiology, curated and summarized directly from the bioRxiv server to keep you at the forefront of discovery.
This study presents an improved adenine-HPLC method that enables accurate quantification of budding yeast by suppressing adenine release from non-DNA biomolecules through temperature control and prewashing, while correcting for background free adenine to measure genomic DNA content.
This study identifies acyl-phosphate, a phospholipid synthesis intermediate produced by PlsX, as a key regulatory molecule that coordinates the synthesis of phospholipids and lipopolysaccharides in *Escherichia coli* by inhibiting the LPS-synthesizing enzyme LpxC.
This study utilizes scalable RB-TnSeq genetic screens on *Klebsiella* sp. M5al to identify 42 bacterial genes essential for infection by 25 diverse phages, revealing that while receptor biosynthesis often confers cross-family resistance, intracellular gene requirements and infection strategies exhibit significant phage-specific variation driven by tail fiber divergence and unique host interactions.
This study utilizes deep mutational scanning of Omicron KP.3.1.1 and LP.8.1 RBDs to demonstrate that key evolutionary hotspots (residues 455, 456, and 493) exhibit shifting amino acid preferences due to ongoing epistatic reconfiguration, while also identifying mutations like H505W that may drive future viral evolution by stabilizing the closed spike conformation.
This study reveals that protein-associated biomolecules, rather than the hemozoin crystal itself, derived from *Plasmodium falciparum*-infected red blood cells are responsible for disrupting brain endothelial barrier integrity in cerebral malaria.
This study characterizes the transcriptional response of *E. coli* to copper stress, revealing that both sub-lethal and near-lethal concentrations upregulate oxidative stress defenses, histidine production, and iron acquisition genes, while also identifying limitations in using a GFP-based promoter library for large-scale screening due to low signal-to-noise ratios.
By integrating transcriptomics and proteomics data across three human bacterial pathogens under ten stress conditions, this study reveals that environmental stressors significantly weaken mRNA-protein level correlations, particularly for essential genes and those involved in osmotic stress, highlighting the critical role of post-transcriptional regulation in bacterial adaptation.
This study employs an integrative bioinformatics and machine learning pipeline to identify a candidate pathogenicity island in *Fusobacterium nucleatum* and proposes a novel mechanistic hypothesis linking hemolysin-mediated iron acquisition to cancer progression via oxidative stress and Hippo pathway modulation.
This study introduces a dynamics-led computational pipeline that utilizes high-resolution time-series data and unsupervised clustering to quantify transient dynamics and inoculum effects in *Pseudomonas aeruginosa*, revealing a novel ODE model that captures complex antibiotic behaviors and defines new metrics for distinguishing dynamical regimes.
This paper critiques Hariharan et al.'s 2025 study on naturally occurring defective HIV genomes, arguing that their observational data cannot validly assess the therapeutic potential of interfering particles, that their reported reproductive numbers are internally inconsistent with viral dynamics, and that established alternative mechanisms better explain the observed phenomena.